Forecasting tourist counts with historical counts and external features

Student Report (2020)
Author(s)

X. Wang (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Dorine Duives – Mentor (TU Delft - Transport and Planning)

Panchamy Krishnakumari – Graduation committee member (TU Delft - Transport and Planning)

Faculty
Civil Engineering & Geosciences
Copyright
© 2020 Xinyi Wang
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Xinyi Wang
Graduation Date
06-09-2020
Awarding Institution
Delft University of Technology
Programme
Civil Engineering
Faculty
Civil Engineering & Geosciences
Reuse Rights

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Abstract

This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.

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Forecastreport.pdf
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